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devActivity

✓ verifiedFreemium

GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.

52K visits/mo

GitHub

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves

QA.tech

✓ verifiedPaid

AI agent-based end-to-end testing platform for SaaS teams that runs exploratory and PR-triggered tests without maintaining test scripts.

29K visits/mo8.7K saves

Maestro Studio Desktop Beta

✓ verifiedFreemium

Open-source framework for automated end-to-end UI testing of mobile and web apps, with a paid cloud for parallel device runs.

183K visits/mo

BlackBox AI

✓ verifiedFreemium

AI coding platform routing many agents and models through one encrypted, usage-based endpoint with CLI, IDE and multi-agent execution.

3.9M visits/mo

Pricing

Free: $0/contributor (up to 7 contributors, 90-day retention)

Premium: $10/contributor (unlimited contributors, AI insights)

No public pricing

Local: $0 (open source)

Cloud: $250/device/mo (parallel runs)

Free trial available

Pro: $10/mo

Pro Plus: $20/mo

Pro Max: $40/mo

Core features

✦Contribution and work-quality analytics
✦Automated, AI-powered performance reviews
✦Retrospective insights
✦Operational bottleneck alerts
✦Gamification with XP, levels and leaderboards
✦Uses Git metadata without accessing source code

✦Fast tensor operations
✦Differentiable tensors for gradient-based optimization
✦Network connectivity
✦Integration with Bun and Flashlight
✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)

✦AI agents that visually explore and test UI like a real user
✦Automatic PR-triggered test runs via GitHub/Vercel preview integration
✦Self-healing tests that adapt to UI and workflow changes
✦Mobile web, iOS, and Android app testing support
✦Detailed debugging with screenshots, logs, and failure reasoning
✦Cloud-native execution with no source-code access required

✦Human-readable YAML test flows
✦Local CLI and Studio testing for free
✦Open-source, CI-friendly design
✦Cloud device farm for parallel runs
✦AI-agent integration through MCP
✦Self-healing tests with local agents

✦Unified encrypted inference endpoint
✦Multi-agent parallel execution
✦CLI, IDE, and API access
✦App builder and remote coding agents
✦Chairman LLM output evaluation
✦35+ IDE integrations

Use cases

→Automating developer performance reviews
→Spotting delivery bottlenecks
→Generating retrospective insights
→Motivating teams via gamification

→Creating and manipulating datasets
→Training small machine learning models
→Implementing advanced training and inference logic
→Building applications that require tensor computations

→Engineering teams wanting regression testing without maintaining scripts
→SaaS companies needing continuous QA feedback on every pull request
→Teams replacing manual QA hours with automated agent-driven testing

→Automate mobile app UI regression tests
→Run tests in parallel across many devices
→Integrate UI testing into CI pipelines
→Let AI agents generate and run app tests

→Automating refactors, tests, and migrations
→Running competing AI coding agents
→Building apps from prompts
→Integrating agents into CI/CD

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